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Upper and Lower Motor Neuron Lesions
Upper and Lower Motor Neuron Lesions

... • Result from spontaneous generation of action potential (injury potentials) in distal segment of the injured axon ...
Supplemental Text Box 1 The Neurobiology of Arousal The defense
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PDF of article - Janelia Research Campus
PDF of article - Janelia Research Campus

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... dendrites, and each dendrite receives inputs from only one ear7,8. Using a simple model that mimics the essence of the known electrophysiology and geometry of these cells, we show here that dendrites improve the coincidence-detection properties of the cells. The biophysical mechanism for this improv ...
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Chapter 16: Neural Integration II: The Autonomic Nervous System

... stress, or emergency (common misconception) • Some aspects of the system are functioning in visceral reflexes for normal activity. (pupil dilation and water balance, for instance) ...
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... basolateral amygdala (BLA), and the central nucleus of amygdala (CeA). The model assumes that these components form two functional sub-systems: (1) the LA-CeA sub-system, which forms S-R associations, and (2) the BLA sub-system, which forms S-S associations. Note that in the following “neurons” have ...
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Nervous system network models

Network of human nervous system comprises nodes (for example, neurons) that are connected by links (for example, synapses). The connectivity may be viewed anatomically, functionally, or electrophysiologically. These are presented in several Wikipedia articles that include Connectionism (a.k.a. Parallel Distributed Processing (PDP)), Biological neural network, Artificial neural network (a.k.a. Neural network), Computational neuroscience, as well as in several books by Ascoli, G. A. (2002), Sterratt, D., Graham, B., Gillies, A., & Willshaw, D. (2011), Gerstner, W., & Kistler, W. (2002), and Rumelhart, J. L., McClelland, J. L., and PDP Research Group (1986) among others. The focus of this article is a comprehensive view of modeling a neural network (technically neuronal network based on neuron model). Once an approach based on the perspective and connectivity is chosen, the models are developed at microscopic (ion and neuron), mesoscopic (functional or population), or macroscopic (system) levels. Computational modeling refers to models that are developed using computing tools.
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